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Dual Microphone Beamforming Algorithm for Acoustic Signals

by Pallavi Agrawal, Madhu Shandilya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 11
Year of Publication: 2015
Authors: Pallavi Agrawal, Madhu Shandilya
10.5120/ijca2015907013

Pallavi Agrawal, Madhu Shandilya . Dual Microphone Beamforming Algorithm for Acoustic Signals. International Journal of Computer Applications. 129, 11 ( November 2015), 33-37. DOI=10.5120/ijca2015907013

@article{ 10.5120/ijca2015907013,
author = { Pallavi Agrawal, Madhu Shandilya },
title = { Dual Microphone Beamforming Algorithm for Acoustic Signals },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 11 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number11/23120-2015907013/ },
doi = { 10.5120/ijca2015907013 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:23:09.910945+05:30
%A Pallavi Agrawal
%A Madhu Shandilya
%T Dual Microphone Beamforming Algorithm for Acoustic Signals
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 11
%P 33-37
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper covers delay-and-sum beamformer and Filter and sum beamformer - Minimum Variance Distortion-less Response (MVDR) beamformer. Both the beamformers were simulated and tested in terms of noise source separation at various frequencies and computational complexity using MATLAB. Even though Generalized Side-Lobe Cancellers (GSC), Superdirectivity and Post-Filtering are also available. It actually covers two-sensor array beamforming which can be extended to multisensory array. MVDR beamformer gave better results as compared to delay-and-sum beamformer, as it adopts to noise condition and also improves the beamformer output, but has a higher computational complexity. Seeing the simulation results, MVDR proves to be a better option for implementing on smart phone applications.

References
  1. Carroll and Heiser, G. 2010. An analysis of power consumption in a smartphone, in Proceedings of the 2010 USENIX conference on USENIX annual technical conference, USENIXATC’10. Berkeley, CA, USA: USENIX Association, 2010, pp. 21. [Online] Available: http://dl.acm.org/citation.cfm?id=1855840.1855861.
  2. Brandstein, M. and Ward, D. 2001. Microphone Arrays: Signal Processing Techniques and Applications, Springer-Verlag (Chapter 2), 2001.
  3. Elko, G. W. 2000. Superdirectional microphone arrays, In Acoustic Signal Processing for Telecommunication, Kluwer Academic Publishers, 181–235 (Chapter 10), 2000.
  4. Cohen, I., Benesty, J. and Gannot, S. 2010. Speech processing in modern communication: challenges and perspectives, Springer topics in signal processing, Springer-Verlag Berlin Heidelberg, 2010.
  5. Veen, B. V. and Buckley, K. 1988. Beamforming: a versatile approach to spatial filtering, ASSP Magazine (Apr. 1988), IEEE, vol. 5, no. 2, 4–24.
  6. Gannot S. and Dvorkind, T. G. 2006. Microphone Array Speaker Localizers Using Spatial-Temporal Information, EURASIP Journal on Applied Signal Processing, Hindawi Publishing Corporation, vol. 2006, Article ID 59625, 1–17, 2006.
  7. Puder, H. 2009. Acoustic noise control: An overview of several methods based on applications in hearing aids, in IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim 2009), 871-876.
  8. Hansler, E. and Schimdt, G. 2006. Topics in acoustic echo and noise control, Springer-Verlag Berlin Heidelberg, 2006.
  9. Levitt, H. 2001. Noise reduction in hearing aids: a review, Journal of Rehabilitation Research and Development (2001), vol. 38, no. 1, 111–121.
  10. Luo F-L. and Uvacek, B. 2002. The Combination Of Binaural Processing With Adaptive Beamforming for Dual Microphones in Speech Communications, 1st IEEE International Conference on Circuits and Systems for Communications (ICCSC 2002), 436 – 439.
  11. Chen, Y., Gong, Q. and Zhang, T. 2013. Research on the Amplitude Mismatch in Dual-microphone Device, in Proceedings of International Conference on Complex Medical Engineering (ICME) (May 25 - 28, 2013), Beijing, China, 433-438.
  12. Chen, J., Phua, K., Shue, L., and Sun, H. 2009. Performance evaluation of adaptive dual microphone systems, Speech Communication (Dec. 2009), vol. 51, no. 12, 1180–1193.
  13. Greensted. Delay sum beamforming. [Online]. Available: http://www.labbookpages.co.uk/audio/beamforming/delaySum.html.
  14. Demba E. B., Florencio D. and Zhang, C. 2007. Enhanced MVDR Beamforming for Arrays of Directional Microphones, in proceedings ICME (July 2007), IEEE.
  15. Richmond, C. D. 2006. Adaptive Array Detection, Estimation and Beamforming, Workshop on Stochastic Eigen-Analysis and its Applications (July 2006), MIT Lincoln Laboratory.
  16. Cohen, I. 2003. Analysis of Two-Channel Generalized Sidelobe Canceller (GSC) With Post-Filtering, IEEE Transactions on Speech And Audio Processing (Nov. 2003), vol. 11, no. 6, 684-699.
  17. Lee, Y. and Wu, W-R. 2005. A Robust Adaptive Generalized Sidelobe Canceller with Decision Feedback, IEEE Transactions on Antennas and Propagation (Nov. 2005), vol. 53, no. 11, 3822-3832.
  18. Glentis, G-O. 2003. Implementation of Adaptive Generalized Sidelobe Cancellers Using Efficient Complex Valued Arithmetic, Int. J. Appl. Math. Comput. Sci. (2003), vol. 13, no. 4, 549–566.
  19. Yu, S-J. and Ueng, F-B. 2000. Blind adaptive beamforming based on generalized sidelobe canceller, Signal Processing (Dec. 2000), vol. 80, Issue 12, 2497–2506.
  20. Townsend, P. 2009. Enhancements to the Generalized Sidelobe Canceller for Audio Beamforming in an Immersive Environment. University of Kentucky Master's Theses, Paper 645. http://uknowledge.uky.edu/gradschool_theses/645.
  21. Talmon, R., Cohen, I. and Gannot, S. 2009. Convolutive Transfer Function Generalized Sidelobe Canceler, IEEE Transactions on Audio, Speech, and Language Processing (Sept. 2009), vol. 17, no. 7, 1420-1434.
Index Terms

Computer Science
Information Sciences

Keywords

Beamformer MVDR array noise

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